Reading the LMDB data issue

[Armen-J]

I have download the xa* data and followed the commands to create "data.mdb", but I run this code:

env = lmdb.open(lmdb_path, map_size=1099511627776, max_dbs = 64)
train_video = env.open_db("train_video".encode())

I get this error: "lmdb.PageNotFoundError: mdb_dbi_open: MDB_PAGE_NOTFOUND: Requested page not found"

Well, it seems strange because the data.mdb is almost 17 gigabytes

When I print the env.stat() I get this:
{'psize': 4096, 'depth': 1, 'branch_pages': 0, 'leaf_pages': 1, 'overflow_pages': 0, 'entries': 35}

[wuhaozhe]

hi, I've gotten the following results. Please check your lmdb version, my version is 1.2.1

[Armen-J]

I have done all these steps, here is a screenshot of mine:

But the same thing again

[wuhaozhe]

Well, I have no idea on how to solve this problem. I google this problem, NVIDIA/DIGITS#1460, one issue mentioned that you cannot use lmdb in NFS. Have you store lmdb in NFS?

[Armen-J]

No, not on NFS.
Well, the whole reason I want to read your Ted-HD database is to have access just to one sample of the data. So just for one short sample, I want to see:

1. uv data (uv_data)
2. background data (bg_data)
3. aligned images (align_data)
4. mouth data (mouth_data)

Is there anyway you could share videos for just one short sample of these 4?

[Armen-J]

And even to be more specific, I would like to know how you create the data for mouth and uv. For UV, do you create all frames with UVAtlas, or just one time and render the rest by using mesh_uv?

[wuhaozhe]

just one time and render the rest by using mesh_uv, you can give me an email address and I'll send you the example.